Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-12T21:59:42.738Z Has data issue: false hasContentIssue false
  • English
  • Français

Multilevel Modeling of the Forest Resource Dynamics

Published online by Cambridge University Press:  02 October 2009

I. N. Vladimirov  and
A. K. Chudnenko
I. N. Vladimirov*
Affiliation:
V.B. Sochava Institute of Geography SB RAS, Irkutsk, Russia
A. K. Chudnenko
Affiliation:
Institute for System Dynamics and Control Theory of SB RAS, Irkutsk, Russia
*
garisson@irigs.irk.ru
Get access

Abstract

We examine the theoretical and applications-specific issues relating to modelingthetemporal and spatial dynamics of forest ecosystems, based on the principles ofinvestigating dynamicalmodels. When developing the predictive dynamical models of forest resources,there is apossibility of achieving uniqueness of the solutions to equations by taking intoaccount the initialand boundary conditions of the solution, and the conditions of the geographicalenvironment. Wepresent the results of a computer modeling and predictive mapping for theregional and subregionalmodel of the forest resource dynamics.

Keywords

forest resource dynamicsGIStemporal and spatial dynamics of forestecosystemsregional and subregional model of forest resources
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 4 , Issue 5: Modelling of geographical processes and natural resources , 2009 , pp. 72 - 88
Copyright
© EDP Sciences, 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

D.J. Connor, B.R. Tunstall, R. Van den Driessche An analysis of photosynthetic response in an brigalow forest. Photosynthetica, 5 (1971), No 3, 218–225.
H.S. Horn. Markovian properties of forest succession. Ecology and Evolution of Communities. Cambridge, Belknap, 1975, 196–211.
H.S. Horn. Some causes of variety in patterns of forest succession. Forest Succession: Concepts and Applications. N.Y., Springer-Verlag, 1991, 24–35.
A.K. Cherkashin. Forecasting the spatial and temporal dynamics of forests of taiga landscape. Dynamics of Ecologo-Economic Systems. Novosibirsk, Nauka, 1981, 107-111.
Urban, D.L., Harmon, M.E., C.B.Halpern. Potential response of Pacific Northwestern forests to climatic change, effects of stand age and initial composition. Climatic Change, 23 (1993), 247–266. CrossRef
Fischlin, A., Bugmann, H., Gyalistras, D.. Sensitivity of a forest ecosystem model to climate parameterization schemes. Environmental Pollution, 87 (1995), 267–282. CrossRef
Bugmann, H.K.M.. A simplified forest model to study species composition along climate gradients. Ecology, 77 (1996), 2055–2074. CrossRef
Benkov, A.V., Ryzhkova, V.A.. Assessment and modeling of the dynamics of the southern-taiga pine forests in Middle Siberia. Lesovedeniye, 1 (2001), 3–12.
I.N. Vladimirov. Mapping of regenerative and age dynamics of taiga forests on the basis of remote sensing data, geographical knowledge and mathematical models. Journal of Remote Sensing, 11 (2007), No 5, 732–744.
H.H. Shugart, T.R. Crow, J.M. Hett. Forest succession models: a rational and methodology for modeling forest succession over large regions. Forest Science, 19 (1973), No 3, 203–212.
H.H. Shugart. A Theory of forest dynamics. The ecological implications of forest succession models. N.Y., Springer, 1984.
A.K. Cherkashin. The use of a mathematical model in forecasting the recovery of the structure of taiga biogeocenoses after tree felling. Structure and Dynamics of Geosystems. Novosibirsk, Nauka, 1979, 97–110.
A.K. Cherkashin. The model for the dynamics of forest stands of a district forestry and its use in solving prediction problems. Planning and Forecasting of Natural-Economic Systems. Novosibirsk, Nauka, 1984, 69–81.
A.K. Cherkashin. The expanding complex of particular models. Forest. Systemic Research Into a Region's Nature – Economy Interaction. Irkutsk University Publisher, 1986, 71–77.
D.J. Mladenoff, H.S. He. Design and behavior of LANDIS, an object-oriented model of forest landscape disturbance and succession. Advances in Spatial Modeling of Forest Landscape Change: Approaches and Applications. Cambridge University Press, 1999, 125–162.
D.J. Mladenoff, G.E. Host, J. Boeder, T.R. Crow. LANDIS: a spatial model of forest landscape disturbance, succession, and management. GIS and Environmental Modeling: Progress and Research Issues. GIS World Inc., 1996. 175–180.
Moiseyev, N.N.. System analysis of dynamical processes of the biosphere. Vestnik AN SSSR, 1 (1979), 97–108.
Luan, J., Muetzelfeldt, R.I., Grace, J.. Hierarchical approach to forest ecosystem simulation. Ecological Modelling, 86 (1996), 37–50. CrossRef
Wu, J., David, J.L.. A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications. Ecological Modelling, 153 (2002), 7–26. CrossRef
Makela, A.. Process-based modelling of tree and stand growth: towards a hierarchical treatment of multiscale processes. Canadian Journal of Forest Research, 33 (2003), 398–409. CrossRef
D.C. Bragg, D.W. Roberts, T.R. Crow. A hierarchical approach for simulating northern forest dynamics. Ecological Modelling, 173 (2004), 31–94
I.N. Vladimirov. The uniqueness of predictive dynamical models as the geographical problem. Geography: New methods and Prospects of a Future Advancement: proc. 15th Conf. of Young Geographers of Siberia and the Far East. Institute of Geography SB RAS Publisher, 2003, 155–157.
Nogin, V.D.. A logical rationale for the Edgeworth-Pareto principle. Zhurnal vychislitelnoi matematiki i matematicheskoi fiziki, 42 (2002), No. 7, 950–956.
Nogin, V.D.. The Edgeworth-Pareto principle and the relative importance of the criteria in the case of a fuzzy preference relation. Zhurnal vychislitelnoi matematiki i matematicheskoi fiziki, 43 (2003), No. 11, 1676–1686.
E.A. Cherkashin, A.K. Chudnenko, I.N. Vladimirov. The intelligent information system for forest stand management dynamics within the context of the problem of developing the decision-making support system for rational utilization of forest resources. InterCarto/InterGIS 10. International Cartographic Association, 2004, 81–85.
I.N. Vladimirov, A.K. Chudnenko. Forecasting of the spatio-temporal dynamics of the forest resources of the Irkutsk region using GIS technologies. Sun. Earth, Water, and Energy. Transactions of the Siberian Division of APVN, issue 2. Novosibirsk, Nauka, 2005, 61–68.